Namio

Namio — CS2 Stats

DE76561198264748031[U:1:304482303]Steam profile ↗✓ No bans

1,283Tracked matches57%Win rate2020Tracked since
3,591Hours in CS3Hrs last 2 wks
CSDB Rating6.8 SolidSupport
Premier CS Rating22,339Top 50% of 213,399 CSDB-tracked playersPink band · top ~5.9% of ranked players (population est.)
CSDB Leaderboard#52198 of 260001 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Nov 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 22,339 +3,906 28 Feb – 4 Nov · 25 days played
16,57622,630peak 22,63028 Feb4 Nov
22,630Peak Premier in tracked matches
36Days played since 2026-02-28

Premier CS Rating

  • 291 below peak (22,630)
  • -291 over 30 days · steady
  • +3,361 over 90 days
  • Next: Red band at 25,000 — 2,661 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-12
  • Purple band first seen 2026-09-12

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=38,294), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerPink band medianRed band medianvs Red band
Headshot rate39.8%46.9%49.3%9.5% short
Shot accuracy17.6%13.0%13.4%above
Kill/death ratio1.331.081.12above
Match win rate45.2%46.7%48.5%3.3% short

This profile matches the typical Red band player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Red band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGNamioPREMIER22,339 · Pink bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim73
Positioning60
Utility67

0–100 skill scores via Leetify.

Recent form

STEADY51–42–7Last 10051%Win rateLLWLLLLWWW

Last 10 vs previous 10: −30pp win rate · −0.04 avg rating · +0.0pp headshot accuracy · −26ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 18%
  • Avg reaction 566ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 15%
  • Avg reaction 539ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 552ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Support — Utility contribution stands above the rest of this profile (+1.3 against its own average).

Aim7.3
Utility6.7
Positioning6.0
Opening Duels5.7
Clutch3.4

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

device

Plays most like device 86% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; lower opening-duel success.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Areas to improve

T-side openings. Opening success drops from 59% on CT to 43% on T — the same duels are being taken with worse setups on the attacking side.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim7.3
Positioning6.0
Utility6.7
Mechanics6.6
Opening Duels5.3
Win Impact7.4

Composite 6.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.01
first ⅓ avg -0.00 → last ⅓ avg -0.01
Reaction time552ms−61ms
first ⅓ avg 613ms → last ⅓ avg 552ms
Headshot accuracy17.4%−1.0%
first ⅓ avg 18.4% → last ⅓ avg 17.4%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.15Best match rating · 13–6 · inferno, 18 Jul →
38%Best headshot accuracy · 6–0 · inferno, 22 Aug →
383msFastest reaction time · 4–13 · mirage, 13 Oct →
13–1Biggest win · ancient, 16 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L2Current streak
7–6In matches decided by ≤2 rounds
12Overtime games

Map breakdown

anubisBest map · 70% over 10dust2Weakest map · 38% over 13
MapGradePlayedRecordWin rateAvg rating
infernoB2412–1250%0.01
cacheA1911–858%0.00
mirageB147–750%-0.01
dust2C135–838%-0.00
ancientA106–460%-0.01
anubisS107–370%-0.01
nukeB63–350%-0.02
overpass—20–20%0.03
vertigo—10–10%0.06
office—10–10%0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (38% over 13). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

93,949Lifetime kills
1.33K/D · Top 25% of Pink band
4,611Matches
45.2%Match win rate
39.8%Headshot %
17.6%Shot accuracy · Top 25% of Pink band
12,623MVPs
1,770Hours (in match)
4,538Bombs planted
1,359Bombs defused

Most-used weapons

AK-4722,743
AWP17,334
P902,171
MP91,827
SSG 081,814

Lifetime map wins

3,652inferno
3,177dust2
2,757nuke
1,235vertigo
712train
529cbble
132lake
52italy

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

108Matches
56%Win rate
1.16Avg K/D
76.4ADR
39%Headshot %

Clutches & streaks

37%1v1 clutch win
23%1v2 clutch win
8Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage2462%1.0616.1
Inferno2070%1.0317.1
Anubis1155%1.1413.9
Vertigo1070%1.1114.7
Ancient1040%1.0614.7
Dust21020%0.8315.8
Train367%1.2814.3
Nuke250%0.8414.0

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

18.0%Headshot accuracy
34.4%Accuracy (enemy spotted)
37.4%Spray accuracy
79.7%Counter-strafing
9.6°Preaim
549msReaction time
43.0%T opening success
59.4%CT opening success
0.46Enemies flashed / flash
6.1%Flash assists
14.51HE damage / grenade
11.86Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.

  1. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4586 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Dust 2

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

38% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno7–13-0.076%4 Nov →
ancient13–16-0.0718%27 Oct →
cache13–10-0.0120%27 Oct →
dust27–13-0.0322%13 Oct →
mirage8–13-0.0622%13 Oct →
mirage4–13-0.0414%13 Oct →
inferno4–9-0.139%3 Oct →
cache13–100.0221%3 Oct →
anubis13–50.013%2 Oct →
inferno13–100.0212%27 Sept →
inferno7–130.1019%20 Sept →
mirage15–15-0.0426%19 Sept →
inferno16–120.1019%19 Sept →
cache13–4-0.0117%19 Sept →
inferno13–8-0.0012%19 Sept →
anubis13–5-0.014%19 Sept →
mirage16–13-0.0314%19 Sept →
nuke13–8-0.0213%18 Sept →
ancient3–13-0.0313%18 Sept →
cache13–7-0.0311%18 Sept →
inferno13–11-0.0521%18 Sept →
cache11–130.0424%17 Sept →
dust26–13-0.0530%17 Sept →
mirage9–130.0824%17 Sept →
inferno6–00.0238%22 Aug →
dust216–12-0.0114%22 Aug →
anubis11–40.0326%22 Aug →
nuke8–13-0.0518%22 Aug →
dust215–150.0729%21 Aug →
ancient11–13-0.0310%21 Aug →
inferno13–60.0625%21 Aug →
nuke9–13-0.0514%21 Aug →
inferno1–13-0.048%21 Aug →
cache1–13-0.0516%16 Aug →
inferno13–90.0018%16 Aug →
ancient13–10.0313%16 Aug →
ancient13–100.0331%14 Aug →
cache13–7-0.0330%14 Aug →
inferno15–15-0.0125%14 Aug →
cache15–15-0.0213%14 Aug →
ancient13–5-0.0113%14 Aug →
cache13–11-0.0510%9 Aug →
cache16–130.0215%9 Aug →
mirage13–50.0011%9 Aug →
dust211–13-0.0620%9 Aug →
mirage16–130.0323%9 Aug →
ancient9–13-0.025%2 Aug →
inferno10–130.0226%26 Jul →
inferno9–13-0.0116%26 Jul →
ancient13–10-0.0314%26 Jul →
nuke7–90.0314%25 Jul →
inferno10–13-0.0410%25 Jul →
anubis13–60.0425%19 Jul →
ancient13–110.0116%19 Jul →
inferno13–4-0.0221%19 Jul →
cache13–80.0128%19 Jul →
mirage5–13-0.0021%18 Jul →
dust215–150.0929%18 Jul →
ancient13–11-0.0213%18 Jul →
cache13–70.0316%18 Jul →
nuke13–7-0.0116%18 Jul →
cache6–20.1110%18 Jul →
inferno13–60.1526%18 Jul →
cache9–13-0.012%18 Jul →
mirage10–13-0.0610%16 Jul →
inferno6–130.0516%16 Jul →
cache5–13-0.0115%14 Jul →
nuke13–30.0114%14 Jul →
dust210–10.086%14 Jul →
mirage13–8-0.0214%12 Jul →
cache3–130.0120%12 Jul →
mirage13–70.0415%12 Jul →
cache11–130.0211%12 Jul →
anubis5–13-0.0719%10 Jul →
dust213–90.0618%5 Jul →
inferno7–130.0322%4 Jul →
anubis13–50.0433%4 Jul →
cache11–13-0.0927%4 Jul →
dust213–5-0.0537%4 Jul →
inferno6–13-0.0610%4 Jul →
dust212–16-0.0222%4 Jul →
anubis13–70.0614%3 Jul →
dust27–13-0.0213%30 Jun →
inferno3–13-0.0532%30 Jun →
inferno13–110.0119%30 Jun →
anubis7–13-0.0621%30 Jun →
dust28–13-0.0519%30 Jun →
overpass3–130.0115%29 Jun →
inferno13–110.0423%26 May →
mirage13–110.0117%26 May →
cache13–80.0829%3 May →
anubis13–60.0415%13 Mar →
inferno13–90.0222%8 Mar →
vertigo12–120.0622%4 Mar →
office6–130.0322%4 Mar →
anubis2–13-0.135%1 Mar →
mirage6–13-0.069%1 Mar →
dust213–5-0.0218%1 Mar →
overpass12–120.0410%28 Feb →
mirage13–60.0117%28 Feb →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.